Resultados de búsqueda - "Google"

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  1. Is poverty in Myanmar on the rise? Poverty predictions from Google mobility data por Myanmar Agriculture Support Activity

    Publicado 2021
    “…In this note, we present the most recent evidence on changes in Google consumer mobility data, since these are leading indicators of changes in household income, and use a previous econometric model linking mobility indices to survey-based household poverty to predict what may be happening to poverty in Myanmar in 2021.…”
    Enlace del recurso
    Brief
  2. Winners and losers from COVID-19: Global evidence from Google search por Abay, Kibrom A., Tafere, Kibrom, Woldemichael, Andinet

    Publicado 2020
    “…This paper employs historical and near real-time Google search data to estimate the immediate impacts of COVID-19 on demand for selected services across 182 countries. …”
    Enlace del recurso
    Artículo preliminar
  3. Winners and losers from COVID-19: Evidence from Google search data for Egypt por Abay, Kibrom A., Ibrahim, Hosam

    Publicado 2020
    “…Evolving pieces of evidence show that services are hardest hit by the COVID-19 pandemic, both globally and in Egypt. Employing Google search data, we examine the implications of COVID-19 on demand for various services in Egypt. • We find that demand for those services that require face-to-face interaction, including hotels and restaurants, air travel and tourism services, significantly dipped after Egypt detected the first COVID-19 case and more so after the Egyptian government introduced major restrictions and curfews. …”
    Enlace del recurso
    Brief
  4. Automated cropland mapping of continental Africa using Google Earth Engine cloud computing por Xiong, Jun, Thenkabail, Prasad S., Gumma, Murali K., Teluguntla, P., Poehnelt, J., Congalton, Russell, Yadav, K., Thau, D.

    Publicado 2017
    “…The ACMA algorithm was deployed on Google Earth Engine (GEE) cloud computing platform and applied on MODIS time-series data from 2003 through 2014 to obtain ACMA-derived cropland layers for these years (ACL2003 to ACL2014). …”
    Enlace del recurso
    Journal Article
  5. Scrutinizing Urbanization in Kathmandu Using Google Earth Engine Together with Proximity-Based Scenario Modelling por Aryal, A., Bhatta, K., Adhikari, S., Baral, H.

    Publicado 2023
    “…Supervised classification was conducted in Google Earth Engine by using Landsat data for years 2001, 2011 and 2021. …”
    Enlace del recurso
    Journal Article
  6. Capacitación en monitoreo espacio-temporal de la erosión hídrica usando Google Earth engine. por Martin, Javier

    Publicado 2024
    “…El evento buscó fortalecer las capacidades técnicas de los participantes en el uso de Google Earth Engine y en la aplicación de metodologías de estimación espacio-temporal de la Erosión Hídrica en Ecuador…”
    Enlace del recurso
    Ponencia
  7. Google earth engine script for semi-automated mapping of small reservoirs using sentinel-2 satellite imagery por Amponsah, Mary, Zwart, Sander J., Akpoti, Komlavi

    Publicado 2023
    “…Google Earth engine script for semi-automated mapping of small reservoirs using Sentinel-2 satellite imagery. …”
    Enlace del recurso
    Source Code
  8. Mapping plant functional types in Northwest Himalayan foothills of India using random forest algorithm in Google Earth Engine por Srinet, R., Nandy, S., Padalia, H., Ghosh, Surajit, Watham, T., Patel, N. R., Chauhan, P.

    Publicado 2020
    “…The present study aims to generate a PFT map for the Northwest Himalayan (NWH) foothills of India using seasonality parameters, topographic conditions, and climatic information from various satellite data and products using Random Forest (RF) algorithm in Google Earth Engine (GEE) platform. The seasonality information was extracted by carrying out a harmonic analysis of Normalized Difference Vegetation Index (NDVI) time-series (2008 to 2018) from Moderate Resolution Imaging Spectroradiometer (MODIS) Terra surface reflectance 8 day 500 m data (MOD09A1). …”
    Enlace del recurso
    Journal Article
  9. A machine learning algorithm for mapping small reservoirs using Sentinel-2 satellite imagery in Google Earth Engine por Siabi, Ebenezer K., Akpoti, Komlavi, Zwart, Sander J.

    Publicado 2023
    “…This report outlines an advanced methodology for mapping small reservoirs in Northern Ghana, utilizing Sentinel-2 satellite imagery and Google Earth Engine. Aimed at enhancing mapping accuracy by reducing cloud contamination, the method filters image collections, applies optimal cloud masks, and composes cloudless images. …”
    Enlace del recurso
    Informe técnico
  10. Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data por Barboza Castillo, Elgar, Salazar Coronel, Wilian, Gálvez Paucar, David, Valqui Valqui, Lamberto, Saravia Navarro, David, Gonzales, Jhony, Aldana, Wiliam, Vásquez Pérez, Héctor Vladimir, Arbizu Berrocal, Carlos Irvin

    Publicado 2023
    “…The objective of this study was to identify the dynamics of LULC changes and the factors associated with the transformations of the dry forest in the Tumbes region (Peru) using Google Earth Engine (GEE). For this, the annual collection of Sentinel 2 (S2) satellite images of 2017 and 2021 was analyzed. …”
    Enlace del recurso
    Enlace del recurso
    Objeto de conferencia
  11. Analytical hierarchy process tool in Google Earth Engine platform: a case study of a tropical landfill site suitability por Bhattacharya, S., Ghosh, Surajit, Bhattacharyya, S.

    Publicado 2022
    “…A user interface (UI)–based analytical hierarchy process (AHP) tool has been developed within the Google Earth Engine (GEE) cloud platform to find out the alternative dumping sites using geospatial layers. …”
    Enlace del recurso
    Journal Article
  12. User Manual: Google earth engine script for semi-automated mapping of small reservoirs using sentinel-2 satellite imagery por Amponsah, Mary, Zwart, Sander J., Akpoti, Komlavi

    Publicado 2022
    “…This user manual describes the methodology to be followed to use the Google Earth engine script for semi-automated mapping of small reservoirs using Sentinel-2 satellite imagery. …”
    Enlace del recurso
    Manual
  13. GEE Training Manual on Use of Earth Observation data and Google Earth Engine monitoring and early warning of floods and droughts in Zambia por Ghosh, Surajit, Alahacoon, Niranga, Amarnath, Giriraj

    Publicado 2022
    “…Specifically, the experts will give more focus to Google’s Earth Engine platform to showcase large- and small-scale scientific analysis and visualization of geospatial datasets. …”
    Enlace del recurso
    Informe técnico

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